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This plan includes
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HD VideoRecorded Lectures- Learn onMobile/PC/Tablet
- Quizzes andReal Projects
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What you'll learn?
- IOT Basics
- IOT Architecture and Design
- Arduino, Raspberry Pi
- IOT protocols
- IOT and cloud
Course Overview
This course will cover below mentioned details
1. IOT
IoT definitions
Advantages and disadvantages
challenges of IOT
2. IOT Architecture and Design
- Components
- Layer Architecture
- Middleware of IOT
3. Internet of things protocols
IOT Protocols description
Communication Protocol
Data Link Protocol
Networking Layer Protocols
Transport Layer Protocol
Application Layer Protocol
4. Cloud and IOT
a. Edge Computing
b. Fog Computing
c. Grid Computing
5. Raspberry Pi and Arduino
1. Arduino Description
2. Arduino Boards Types
3. Raspberry Pi description
4. Raspberry Pi Models
5. Raspberry Pi and Arduino comparison
6. Raspberry Pi and Arduino project
• Uses of sensor
• Use interface switches
• MQTT,COAP Messaging
• Raspberry and Arduino Pi coordination
6. Remote Monitoring Solution (RMS)
• While the idea of IoT has been in existence for a long time, a collection of recent advances in a number of different technologies has made it practical.
• Access to low-cost, low-power sensor technology. Affordable and reliable sensors are making IoT technology possible for more manufacturers.
•Connectivity. A host of network protocols for the internet has made it easy to connect sensors to the cloud and to other “things” for efficient data transfer.
•Cloud computing platforms. The increase in the availability of cloud platforms enables both businesses and consumers to access the infrastructure they need to scale up without actually having to manage it all.
•Machine learning and analytics. With advances in machine learning and analytics, along with access to varied and vast amounts of data stored in the cloud, businesses can gather insights faster and more easily. The emergence of these allied technologies continues to push the boundaries of IoT and the data produced by IoT also feeds these technologies.
•Conversational artificial intelligence (AI). Advances in neural networks have brought natural-language processing (NLP) to IoT devices (such as digital personal assistants Alexa, Cortana, and Siri) and made them appealing, affordable, and viable for home use.
Pre-requisites
- Learn should have basic knowledge of Computer Science
- Candidate should aware of C++ and Python to work on IOT
- Students should be aware of basic programming of any laungage of C++ or python
- He should have own computor
Target Audience
- Programmers and Developers
- Software Engineers and Architects
- Project Managers
- Data Analysts
- Application Architects
- University Professors and Students
- The students who want be expertise in IOT field
Curriculum 29 Lectures
Section 1 : IOT, IOT architecture,Advantages and disadvantages of IOT, Challanges in IOT
- Lecture 2 :
- IOT basics
- Lecture 3 :
- IoT Advantages and disadvantages
- Lecture 4 :
- IoT challenges
Section 2 : IOT Architecture and Design
- Lecture 1 :
- IOT Key Components
- Lecture 2 :
- IoT Layer Architecture Of IOT
- Lecture 3 :
- IoT Middleware of IOT
Section 3 : Protocols of IOT
- Lecture 1 :
- IOT Protocols description
- Lecture 2 :
- Communication Protocol
- Lecture 3 :
- Data Link Protocol
- Lecture 4 :
- Networking Layer Protocols
- Lecture 5 :
- Transport Layer Protocol
- Lecture 6 :
- Application Layer Protocol
- Lecture 7 :
- Session Layer protocol
Section 4 : Edge, Fog and grid computing
- Lecture 1 :
- Edge Computing
- Lecture 2 :
- Fog computing
- Lecture 3 :
- Grid computing
Section 5 : Raspberry Pi and Arduino
- Lecture 1 :
- Arduino Boards Types
- Lecture 2 :
- Raspberry Pi description
- Lecture 3 :
- Raspberry Pi Models
- Lecture 4 :
- Raspberry Pi and Arduino comparison
Section 6 : Project on Raspberry Pi and Arduino
- Lecture 1 :
- Interaction with Arduino
- Lecture 2 :
- Interfacing sensor with Arduino
- Lecture 3 :
- Interaction with Raspberry pi sense HAT
- Lecture 4 :
- Interaction with Raspberry Pi
- Lecture 5 :
- Interface switch with Ardiuno
- Lecture 6 :
- PIR Motion Sensor Interfacing with Raspberry Pi using Python
Section 7 : Temperature and Humidity measurement with Aurdino and Raspberry Pi
- Lecture 1 :
- Temperature and Humidity measurement with Aurdino
- Lecture 2 :
- Temperature measurement with Raspberry Pi
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